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Twist and Learn: Interface Learning in 3DOF Exploration of 3D Scatterplots

Published: 18 April 2015 Publication History

Abstract

The increasing availability of 3D interfaces brings promise of improved user experience in diverse areas. Our study focuses on visual analytics, testing whether 3D interactivity improves performance in a visual data exploration task. Specifically, we compared scene rotation around vertical axis to a full 3D rotation using a InterSense IS-900 3D controller, in a task involving trivariate trend detection in a 3D scatterplot. We found that, while 3D rotation leads to slower performance, previous exposure to single-axis rotation removes that difference. This shows that an interactive 3D scatterplot can be an effective visual exploration technique for detecting trivariate patterns in the data, and highlights the role of interface learning in design and assessment of novel interfaces.

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Cited By

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  • (2023)Evaluating 3D User Interaction Techniques on Spatial Working Memory for 3D Scatter Plot Exploration in Immersive Analytics2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR59233.2023.00066(513-522)Online publication date: 16-Oct-2023
  • (2018)VirtualDesk: A Comfortable and Efficient Immersive Information Visualization ApproachComputer Graphics Forum10.1111/cgf.1343037:3(415-426)Online publication date: 10-Jul-2018
  • (2018)Interaction Strategies for Effective Augmented Reality Geo-Visualization: Insights from Spatial CognitionHuman–Computer Interaction10.1080/07370024.2018.153100136:2(107-149)Online publication date: 30-Oct-2018

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  1. Twist and Learn: Interface Learning in 3DOF Exploration of 3D Scatterplots

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      cover image ACM Conferences
      CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
      April 2015
      4290 pages
      ISBN:9781450331456
      DOI:10.1145/2702123
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 18 April 2015

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      Author Tags

      1. 3d controller
      2. interface learning
      3. scatterplot
      4. visual analytics

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      CHI '15
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      CHI '15: CHI Conference on Human Factors in Computing Systems
      April 18 - 23, 2015
      Seoul, Republic of Korea

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      CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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      Cited By

      View all
      • (2023)Evaluating 3D User Interaction Techniques on Spatial Working Memory for 3D Scatter Plot Exploration in Immersive Analytics2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR59233.2023.00066(513-522)Online publication date: 16-Oct-2023
      • (2018)VirtualDesk: A Comfortable and Efficient Immersive Information Visualization ApproachComputer Graphics Forum10.1111/cgf.1343037:3(415-426)Online publication date: 10-Jul-2018
      • (2018)Interaction Strategies for Effective Augmented Reality Geo-Visualization: Insights from Spatial CognitionHuman–Computer Interaction10.1080/07370024.2018.153100136:2(107-149)Online publication date: 30-Oct-2018

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